{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T16:04:17Z","timestamp":1789488257537,"version":"build-2803163510"},"reference-count":54,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>AI-enabled digital health services are rapidly expanding within health care systems and are expected to improve health management and access to health information. However, rigorous empirical evidence on whether AI health service use is associated with individual health satisfaction remains limited, particularly regarding whether these potential benefits differ across socioeconomic groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to examine the relationship between AI health service use and health satisfaction and to assess whether this association varies across socioeconomic groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Nationally representative data from the 2024 Digital Divide Survey in South Korea (N=15,000) were analyzed. To address potential endogeneity arising from self-selection and reverse causality, a 2-stage least squares instrumental variable approach was used. Robustness analyses using an alternative sample restriction, an alternative estimation method, and alternative instrumental variable specifications were conducted to assess the robustness of the findings. Subgroup analyses and interaction tests were conducted to assess socioeconomic heterogeneity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      AI health service use was positively and significantly associated with health satisfaction (\u03b2=0.739, 95% CI 0.391\u20101.088;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001). The positive association was stronger among men, individuals living outside the capital area, those with lower income, people living alone, and individuals with disabilities.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AI health service use was associated with higher levels of health satisfaction, and this association appeared stronger among several socioeconomically disadvantaged groups. These findings suggest that AI health services may function as complementary health resources and highlight the importance of considering socioeconomic heterogeneity when developing and evaluating AI-enabled health policies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/95592","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T15:21:13Z","timestamp":1789485673000},"page":"e95592-e95592","source":"Crossref","is-referenced-by-count":0,"title":["AI Health Services and Health Satisfaction Across Socioeconomic Groups in South Korea: National Cross-Sectional Study Using an Instrumental Variable Approach"],"prefix":"10.2196","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2365-3668","authenticated-orcid":false,"given":"Hui","family":"Zeng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7796-3935","authenticated-orcid":false,"given":"Chuanyang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8897-2282","authenticated-orcid":false,"given":"Yingying","family":"Ouyang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1734-294X","authenticated-orcid":false,"given":"Mingzheng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,9,15]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1108\/IJHG-02-2019-0012","article-title":"An analysis of emerging trends and transformations in global healthcare","volume":"24","author":"Yeganeh","journal-title":"Int J Health Gov"},{"issue":"6","key":"R2","doi-asserted-by":"crossref","first-page":"738","DOI":"10.59613\/azka9r10","volume":"1","author":"Widjaja","journal-title":"J Acad Sci"},{"issue":"2","key":"R3","doi-asserted-by":"publisher","first-page":"187","DOI":"10.51601\/ijersc.v6i2.975","article-title":"Unlocking the potential of artificial intelligence in democratizing health information: a scholarly synthesis","volume":"6","author":"Windah","journal-title":"IJERSC"},{"issue":"2","key":"R4","doi-asserted-by":"publisher","first-page":"e188","DOI":"10.7861\/fhj.2021-0095","article-title":"Artificial intelligence in healthcare: transforming the practice of medicine","volume":"8","author":"Bajwa","journal-title":"Future Healthc J"},{"issue":"1","key":"R5","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol","journal-title":"Nat Med"},{"issue":"2","key":"R6","doi-asserted-by":"publisher","first-page":"70","DOI":"10.36079\/lamintang.ijai-01102.709","article-title":"The role of AI in enhancing healthcare access and service quality in resource-limited settings","volume":"11","author":"Farhat","journal-title":"Int J Artif Intell"},{"key":"R7","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2024.117560","article-title":"The role of artificial intelligence in enhancing healthcare for people with disabilities","volume":"364","author":"Olawade","journal-title":"Soc Sci Med"},{"issue":"9","key":"R8","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.45684","article-title":"Perspective of artificial intelligence in disease diagnosis: a review of current and future endeavours in the medical field","volume":"15","author":"Umapathy","journal-title":"Cureus"},{"key":"R9","doi-asserted-by":"publisher","DOI":"10.1016\/j.sintl.2021.100117","article-title":"Telemedicine for healthcare: capabilities, features, barriers, and applications","volume":"2","author":"Haleem","journal-title":"Sens Int"},{"issue":"3","key":"R10","doi-asserted-by":"publisher","first-page":"21582440221121722","DOI":"10.1177\/21582440221121722","article-title":"What makes Indonesians satisfied with their health? 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